This is a guide for patching a game with Luma's built-in LayeredFS feature. This requires the latest Luma3DS and b9s. They can be installed using the guide if you have not already.

You can dump RomFS from any game using Godmode9.

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

This gist bundles 20 security-focused code review skills as a single reference. Files are numbered 01- through 20- to match the ordering below.

20 code review skills extracted from the analysis of 300+ real-world bugs in major open source projects (200 missed in review, 106 caught before exploitation). Each skill is grounded in specific CVEs, security advisories, published audit findings, and documented review processes from projects including the Linux kernel, OpenSSL, Chromium, Firefox, curl, Go, Rust, Kubernetes, and dozens more.

Agentgateway Objects context